Artificial Intelligence Enabled Middleware for Distributed Cyberattacks Detection in IoT-based Smart Environments
Author:
Affiliation:
1. Kristiania University College,School of Economics, Innovation, and Technology,Oslo,Norway
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020531.pdf?arnumber=10020531
Reference31 articles.
1. Global IoT Market Size Grew 22% in 2021 — These 16 Factors Affect the Growth Trajectory to 2027;IoT Analytics,2022
2. Machine Learning Based IoT Intrusion Detection System: An MQTT Case Study (MQTT-IoT-IDS2020 Dataset)
3. Towards the development of realistic botnet dataset in the Internet of Things for network forensic analytics: Bot-IoT dataset
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1. Convolutional Neural Network Based IOT Intrusion Detection System using Edge-IIoTset;2024 International Conference on Integrated Circuits, Communication, and Computing Systems (ICIC3S);2024-06-08
2. SmartSentry: Cyber Threat Intelligence in Industrial IoT;IEEE Access;2024
3. Distributed Deep Neural-Network-Based Middleware for Cyber-Attacks Detection in Smart IoT Ecosystem: A Novel Framework and Performance Evaluation Approach;Electronics;2023-01-06
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